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import torch.distributed.optim as dist_optim
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import torch.nn as nn
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import torch.optim as optim
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import torchvision.models as tv_models
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from torchvision.transforms import transforms
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from .registry import Registry
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LAYERS = Registry('layers', third_party_library=[nn])
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LOSSES = Registry('losses')
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MODELS = Registry('models', third_party_library=[tv_models])
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OPTIMIZERS = Registry('optimizers', third_party_library=[optim, dist_optim])
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OPTIMIZER_WRAPPERS = Registry('optimizer_wrappers')
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DATASETS = Registry('datasets')
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DIST_GROUP_INITIALIZER = Registry('dist_group_initializer')
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GRADIENT_HANDLER = Registry('gradient_handler')
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LOSSES = Registry('losses', third_party_library=[nn])
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HOOKS = Registry('hooks')
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TRANSFORMS = Registry('transforms', third_party_library=[transforms])
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PIPE_ALLOC_POLICY = Registry('pipeline_allocation_policy')
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SAMPLERS = Registry('samplers')
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LR_SCHEDULERS = Registry('lr_schedulers')
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SCHEDULE = Registry('schedules')
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